The school introduces to selected numerical/computational methods with programming examples/exercises in Matlab, Python and C++. The methods include linear algebra, quadrature, Monte Carlo, the Fourier transform, numerical optimisation and model calibration. Notable applications are derivatives pricing in finance and simple agent-based models in economics.

Schedule

Morning (Monday through Friday)

9:00 - 10:30 lecture
10:30 - 11:00 coffee break
11:00 - 12:30 lecture

Afternoon (Monday through Thursday)

15:00 - 16:00 exercises
16:00 - 16:30 coffee break
16:30 - 17:30 exercises

Three hours of theoretical lectures in the morning from Monday to Friday; two hours of applications and exercises, including supervised coding, in the afternoon from Monday to Thursday.